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Flatiron Research Fellow, Genomics, Center for Computational Biology

Flatiron Institute - Simons Foundation
New York City, United Statesfull_timeVerifiedPosted 21 Jul 2025
💰 $91,000/yr

About the role

Description

The Center for Computational Biology (CCB) of the Simons Foundation’s Flatiron Institute is actively seeking enthusiastic, full-time post-doctoral Flatiron Research Fellows to join its Genomics group.

 

The Genomics group  works to interpret genomes and distill the immensely complex networks that form the foundation of human biology and disease, through accurate machine learning models.   Current areas of interest include developing deep learning approaches for genome interpretation; development of methods for multi-omic and spatial data analysis and integration with phenotypic and clinical data;  and machine learning and AI approaches for network modeling and regulatory module detection.  These and other methods are developed in tight collaboration with experimental biologists, biomedical scientists, and clinicians and are applied to specific biological problems, both fundamental and biomedical.

 

Position Description

 

Flatiron Research Fellows in CCB are individuals at the postdoctoral level with backgrounds in one or more of the following areas: applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines. Reporting to Research Scientists, Data Scientists or the Center Director, as appropriate, Fellows are expected to carry out an active research program that can be independently directed and/or involve substantial collaboration with other members of CCB or the Flatiron Institute. In addition to their research, Fellows help build the rich scientific community at CCB and the Flatiron Institute by participating in seminars, colloquia, and group meetings; developing their software, mathematical and computational expertise through internal education opportunities; and sharing their knowledge through scientific publications, presentations, and/or software releases, with the financial support of the Institute. Fellows have access to the Flatiron Institute’s powerful scientific computing resources. (For more information about careers at the Flatiron Institute, please click here. )

 

Responsibilities include but are not limited to:

  • Performing theoretical and computational research

  • Developing, implementing and maintaining scientific software

  • Participating in the organization of CCB and Flatiron-wide collaborative activities including seminars, workshops and meetings

  • Participating in the preparation of manuscripts for publication and of presentations at scientific conferences

  • Assisting in student mentorship

  • Sharing expertise and providing training and guidance to CCB staff and visitors as needed.

 

FRF positions are generally two-year appointments that can be renewed for a third year, contingent on performance. Fellows will be based, and have a principal office or workspace, at the Simons Foundation’s offices in New York City.  Fellows may also be eligible for subsidized housing within walking distance of the Flatiron Institute.

Qualifications

Education

  • Ph.D. in a relevant field (applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines)

 

Related Skills & Other Requirements

 

  • Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis

  • Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and algorithm development, modeling machine learning, and scientific simulation 

  • Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists

  • Strong oral and written communication, data documentation, and present

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Company

Flatiron Institute - Simons Foundation

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